Senior Data Engineer – Healthcare Data Platforms

 Posted a day ago
     
 $64 - $74 per hour
  
5-10 years experience
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AI Summary

Design, build, and operate scalable ETL/ELT pipelines across GCP and Azure to support healthcare analytics. The role involves modeling complex datasets, orchestrating workflows, and ensuring secure handling of PHI in compliance with HIPAA.

Overview

Location: Remote within USA

Employment Type: Full‑Time Contract (W2)Department: Medical Education & Research – Next Gen Data Architecture

 

Build the Data Backbone Behind Life‑Changing Healthcare

Are you a senior‑level data engineer who thrives on ownership, scale, and real‑world impact? Trissential is hiring a Senior Data Engineer to join our client’s Medical Education & Research team, supporting next‑generation healthcare data platforms.

 

This is a high‑impact role where you’ll design, build, and operate production‑grade ETL/ELT pipelines across enterprise cloud environments—powering analytics that directly support healthcare innovation.

 

This is not a prototype‑only role. You’ll own pipelines end‑to‑end, set technical direction when requirements are unclear, and deliver reliable, secure data systems at scale.

 

What’s In It for You?

  • End‑to‑End Ownership – Design, deploy, and operate enterprise data pipelines from requirements through production
  • Modern Cloud Stack – Work hands‑on with GCP, Azure, BigQuery, SQL Server, and modern orchestration tools
  • Healthcare Impact – Build systems handling PHI and healthcare data that support research, education, and patient outcomes
  • Technical Influence – Set direction, recommend tools, and shape data architecture decisions
  • Mentorship & Leadership – Coach junior engineers and elevate engineering standards across the team
  • Stability with Challenge – Long‑term enterprise environment with complex, meaningful data problems

 

Your Role & Responsibilities

  • Design, build, and operate scalable ETL/ELT pipelines across GCP and Azure cloud platforms
  • Model large, complex datasets for analytics using dimensional modeling, normalization, and SCDs
  • Orchestrate workflows using Airflow, Cloud Composer, Azure Data Factory, or similar tools
  • Own pipelines in production—monitoring, troubleshooting, optimizing, and improving performance
  • Ensure secure handling of PHI in alignment with HIPAA requirements, including access controls and auditing
  • Translate business and stakeholder needs into clear technical designs and delivery plans
  • Implement CI/CD pipelines using Git and enterprise deployment standards
  • Identify automation and process improvements that reduce manual effort and increase reliability
  • Explore emerging data technologies and recommend enhancements to platform capabilities
  • Mentor junior data engineers and promote best practices across the team

 

Skills & Experience You Should Possess

  • 7+ years of data engineering experience delivering production‑grade systems
  • Advanced SQL expertise with hands‑on experience building complex data pipelines
  • Strong development experience using Python or Java
  • Proven experience designing and operating ETL/ELT pipelines at scale
  • Hands‑on experience across GCP, Azure, BigQuery, and SQL Server
  • Solid understanding of data modeling for analytics workloads
  • Experience with workflow orchestration tools (Airflow, ADF, Cloud Composer, Dagster, or Prefect)
  • Comfort working in enterprise environments with governance, standards, and controls

 

Bonus Points If You Have

  • Direct experience working with healthcare data and PHI
  • Working knowledge of HIPAA compliance and secure data handling
  • Experience supporting both batch and streaming data pipelines
  • Exposure to modern data trends such as semantic layers or LLM‑assisted development
  • History of influencing architecture decisions in ambiguous problem spaces

 

Education & Certifications You Need

  • Bachelor’s degree in Computer Science, Information Technology, or a related fieldOR
  • Equivalent professional experience (5+ additional years in lieu of a degree)

 

What We Offer

At Trissential, you’ll join our client’s team working on impactful, enterprise‑scale healthcare data initiatives—while enjoying flexibility, strong benefits, and competitive pay.

  • Competitive Compensation$64–$74 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market‑based rates by geography.
  • Comprehensive Benefits for you and your dependents – Medical, dental, vision, free tele‑health, HSA with company contribution, life and disability insurance, and 401k with matching
  • Paid Time Off –Offers paid time away from work
  • Enterprise‑Scale Experience – Work within one of the most advanced healthcare data environments
  • Career Growth – Exposure to modern platforms, tools, and architectural decision‑making

 

This role is open only to candidates authorized to work in the United States

 

Ready to Own Data That Matters?

If you’re a senior data engineer who wants ownership, scale, and real‑world impact—this is your opportunity. Apply today and take the next step in your data engineering career with Trissential

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